metadata
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/codebert-base-mlm
model-index:
- name: malicious-package-classifier-bert-mal-only
results: []
malicious-package-classifier-bert-mal-only
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 140
- eval_batch_size: 140
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 42 | 0.0129 |
| No log | 2.0 | 84 | 0.0016 |
| No log | 3.0 | 126 | 0.0007 |
| No log | 4.0 | 168 | 0.0005 |
| No log | 5.0 | 210 | 0.0003 |
| No log | 6.0 | 252 | 0.0003 |
| No log | 7.0 | 294 | 0.0002 |
| No log | 8.0 | 336 | 0.0002 |
| No log | 9.0 | 378 | 0.0002 |
| No log | 10.0 | 420 | 0.0002 |
| No log | 11.0 | 462 | 0.0001 |
| 0.0134 | 12.0 | 504 | 0.0001 |
| 0.0134 | 13.0 | 546 | 0.0001 |
| 0.0134 | 14.0 | 588 | 0.0001 |
| 0.0134 | 15.0 | 630 | 0.0001 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2